Title of article :
An NP Control Chart Using Double Inspections
Author/Authors :
Zhang Wu & Qinan Wang، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Abstract :
The np control chart is used widely in Statistical Process Control (SPC ) for attributes.
It is difficult to design an np chart that simultaneously satisfies a requirement on false alarm rate and
has high detection effectiveness. This is mainly because one is often unable to make the in-control
Average Run Length ARL0 of an np chart close to a specified or desired value. This article proposes a
new np control chart which is able to overcome the problems suffered by the conventional np chart. It is
called the Double Inspection (DI ) np chart, because it uses a double inspection scheme to decide the
process status (in control or out of control ). The first inspection decides the process status according
to the number of non-conforming units found in a sample; and the second inspection makes a decision
based on the location of a particular non-conforming unit in the sample. The double inspection scheme
makes the in-control ARL0 very close to a specified value and the out-of-control Average Run Length
ARL1 quite small. As a result, the requirement on a false alarm rate is satisfied and the detection
effectiveness also achieves a high level. Moreover, the DI np chart retains the operational simplicity
of the np chart to a large degree and achieves the performance improvement without requiring extra
inspection (testing whether a unit is conforming or not).
Keywords :
Statistical process control , Control chart , quality control , double inspection , Averagerun length
Journal title :
JOURNAL OF APPLIED STATISTICS
Journal title :
JOURNAL OF APPLIED STATISTICS